Abstract: Data-driven modeling has emerged as a powerful approach for soft sensing of key performance indices in industrial processes. This approach can leverage the collected process data to ...
Abstract: Various soft-sensor construction methods based on transfer learning have been proposed to quickly adapt soft-sensors to changes in process characteristics caused by process maintenance.
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